Toward a New Science of Information

Doucette, Dail; Bichler, Robert; Hofkirchner, Wolfgang; Raffl, Celina

doi:10.2481/dsj.6.s198

Cited by 9 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Information (alongside matter and energy) is considered one of the most fundamental elements of the universe [2–4]. Deeper understandings of information have been proposed, and people have begun to accept an information-centric view of nature [5–7].…”

Section: Concerning Informationmentioning

confidence: 99%

Information as causality: An approach to a general theory of information

Luo

Younghwan

2016

Journal of Information Science

View full text Add to dashboard Cite

Although various approaches have been proposed throughout history, information, as one of the most fundamental elements in the world, does not have a general definition or theory that is acceptable to all disciplines. The biggest challenge is the unification of objective and subjective views, because they represent very different characteristics of information which are difficult to integrate into a single framework. We argue that the key to bridging the gap between objective and subjective views of information is a proper understanding of intelligence, because it gives rise to subjective experiences and assigns meaning to things. The purpose of this research is to explore possibilities and implications of applying neuroscience theory in the discussion of information. By incorporating the memory–prediction framework of intelligence developed by Jeff Hawkins, we propose causality to be the general definition of information, and the combination of ‘Physical Representations of Mental Patterns’ and ‘Physical Representations of Physical Patterns’ to be the restricted definition in social contexts. With both general and restricted definitions clarified, we then discuss a few cases of information use and the implications of our approach.

show abstract

Section: Concerning Informationmentioning

confidence: 99%

Information as causality: An approach to a general theory of information

Luo

Younghwan

2016

Journal of Information Science

View full text Add to dashboard Cite

show abstract

“…In other words, what is, in scientific terms, required by a future Science of Information (see Doucette et al [2])? To be ready for the paradigm shift, we must anticipate now what will be required in the future.…”

Section: Aims Scope and Tools Of A Science Of Informationmentioning

confidence: 99%

Toward a New Science of Information

Hofkirchner

2011

Information

View full text Add to dashboard Cite

Currently, a Science of Information does not exist. What we have is InformationScience that grew out of Library and Documentation Science with the help of Computer Science. The basic understanding of information in Information Science is the Shannon type of "information" at which numerous criticisms have been levelled so far. The task of an as-yet-to-be-developed Science of Information would be to study the feasibility of, and to advance, approaches toward a more general Theory of Information and toward a common concept of information. What scientific requirements need to be met when trying to develop a Science of Information? What are the aims of a Science of Information? What is the scope of a Science of Information? What tools should a Science of Information make use of? The present paper responds to these questions.

show abstract

“…In a more broaden sense a Science of Information has been posed as a "cooperative research concept that includes scientists from all scientific branches", from basic-to applied research, and even integrating stakeholders (Doucette et al 2007). Considering that a refined concept of information might bridge among matter and energy (physics), life (biology), cognition and consciousness (psychology and neuroscience) and societal systems (sociology), different initiatives have been fostered aiming to achieve an information theoretical approach that could solve major scientific problems bridging apparently irreconcilable disciplines (Lyre 2001;Conrad & Schwarz 1998, Marijuán 1998, Hofkirchner 1999b Erkenntniss, Wissen, S. conocimiento).…”

Section: I(x Y) = I(x) + I(y|x I(x)) + O(1) ≤ I(x) + I(y) + O(1)mentioning

confidence: 99%